Courses Detail Information

ME6503J – Engineering Optimization

Instructors:

Credits: 3 credits

Pre-requisites: MATH2160J/256/286

Description:

Review and discuss basic optimality theorems and conditions;

Introduce theoretical methods for single-objective continuous optimization problems;

Present an overview of computational methods for single- and multi-objective design optimization problems, mainly with continuous design variables;

Introduce practical optimization software, such as Matlab optimization toolbox and Excel.

Course Topics:

Introduction

Math review, formulation

Unconstrained optimality

Unconstrained and constrained optimality: KKT conditions

Constrained optimality: KKT conditions,

Project Introduction

Constrained optimality

Constrained optimality: Global optimality;

Constrained optimality: More on KKT conditions

Linear programming

Project work, Matlab/Excel

Matlab/Excel

Genetic algorithms

Unconstrained methods

Multi-objective optimization

Constrained methods

Project presentations